In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
17 authors.
Jucha Willers MooreEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-0916-918X Ines TomazinhoEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Cidalia Da CostaEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Dario GalloEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Grant HartungAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.ORCID 0000-0002-7107-3050 Alena UusEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-5796-2145 Maria DeprezEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-2799-6077 Sharon L GilesEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-8528-3745 A David EdwardsEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0003-4801-7066 Jo V HajnalLondon Collaborative Ultra high field System (LoCUS), Kings College London, London, United Kingdom.ORCID 0000-0002-2690-5495 Shaihan J MalikEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0001-8925-9032 Jonathan R PolimeniAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.ORCID 0000-0002-1348-1179 Tomoki ArichiEarly Life Imaging Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.ORCID 0000-0002-3550-1644 Funding
Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LINNINGER, ANDREAS A · 2021 to 2025
$13.4MTraining and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9MImproving Human fMRI through Modeling and Imaging Microvascular Dynamics: Administrative SupplementR01MH111419 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2016 to 2020
$4.9MCRCNS: Computational Modeling of Microvascular Effects in Cortical Laminar fMRIR01EB032746 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2021 to 2023
$551kBiophysical modeling of the functional MRI signal through parametric variations in neuronal activation and blood vessel anatomy using realistic synthetic microvascular networksF32MH125599 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HARTUNG, GRANT · 2020 to 2023
$225kNIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB032746NIMH NIH HHS F32 MH125599NIMH NIH HHS R01 MH111419NINDS NIH HHS U19 NS123717Wellcome Trust
6 · The paper itselfAbstract
Human cortical development leading up to and around birth is crucial for lifelong brain function. Cortical activity can be studied using BOLD fMRI, however, previously limited sensitivity and spatial specificity has constrained understanding of how its emergence relates to functional cortical circuitry and neurovascular development at the mesoscale. To resolve this, we used ultra-high-field 7 Tesla MRI to acquire submillimetre resolution BOLD-fMRI data from 40 newborns and 4 adults. In all subjects, passive right-hand movement elicited localised, positive BOLD responses in contralateral primary somatosensory cortex. In newborns, depth-specific BOLD responses were still evident in the thinner cortex, with developmental changes in response temporal features and amplitudes at different depths. This provides insight into key rapidly evolving factors in early cortical development including neuronal function, vascular architecture, and neurovascular coupling. Our framework and findings provide a foundation for future studies of emerging cortical circuitry and how disruption leads to adverse outcomes.
Identifiers
PMID40894533
PMCPMC12393307
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